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Poor Performance with Large Data Volumes and Analytics

8/10 High

PostgreSQL is not optimal for applications requiring real-time or near-real-time analytics. For massive single datasets (billions of rows, hundreds of gigabytes) with frequent joins, queries can take hours. PostgreSQL lacks native columnar storage support, necessitating non-core extensions and increasing architectural complexity.

Category
performance
Workaround
partial
Stage
debug
Freshness
persistent
Scope
single_lib
Upstream
open
Recurring
Yes
Buyer Type
enterprise
Maintainer
active

Sources

Collection History

Query: “What are the most common pain points with PostgreSQL for developers in 2025?3/29/2026

For massive single datasets (billions of rows, hundreds of gigabytes), especially with frequent joins, PostgreSQL performance can be extremely slow, with queries potentially taking hours. PostgreSQL does not natively support columnar storage, a crucial feature for efficient analytical workloads.

Created: 3/29/2026Updated: 3/29/2026